Mitigating Deepfake Threats to Privacy: Legal Frameworks and Technological Safeguards
- DOI
- 10.2991/978-2-38476-426-6_14How to use a DOI?
- Keywords
- Deepfakes; Privacy; AI Regulation; Data Protection; Consent
- Abstract
Deepfake technology represents an artificial intelligence-based tool that generates or alters audio-visual content while generating significant privacy concerns. Deepfake technology enables realistic depictions of people in unauthorized situations while creating harmful consequences that affect personal reputations and society through misinformation campaigns and election tampering. The European Union’s General Data Protection Regulation (GDPR), various state privacy regulations in the U.S., and Indian data privacy laws were developed without considering the specific dangers posed by AI-created content. Legislative shortcomings have opened up significant gaps that deepfakes can use to manipulate legal ambiguities regarding consent and data protection rights over personal images. This paper analyzes deepfake technology and its substantial threats to privacy while evaluating responses through legal and technological measures. This research examines how deepfakes disrupt established ideas about consent, authenticity, and personal identity from a privacy standpoint. The paper examines contemporary deepfake detection and prevention technologies from a technological standpoint. To effectively incorporate these technologies into comprehensive privacy protection frameworks entails complex processes that demand supportive policy mechanisms alongside technological breakthroughs. The research underscores that effective solutions depend on integrating legal reforms together with technological advancements through a collaborative approach.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Manish Nandal PY - 2025 DA - 2025/06/06 TI - Mitigating Deepfake Threats to Privacy: Legal Frameworks and Technological Safeguards BT - Proceedings of the National Seminar on Enhancing Privacy Protection in the Digital Age: Legal Challenges & Innovations (NSEPPDA 2025) PB - Atlantis Press SP - 225 EP - 254 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-426-6_14 DO - 10.2991/978-2-38476-426-6_14 ID - Nandal2025 ER -